EDMANS
Engineering Data Mining and Numerical Simulations
Publications (22) Publications in which a researcher has participated View referenced research data.
2024
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Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques
Sensors, Vol. 24, Núm. 12
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Artificial Intelligence Methodology for Run-to-Target Manufacturing
Lecture Notes in Networks and Systems
2023
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Artificial Intelligence Models for Assessing the Evaluation Process of Complex Student Projects
IEEE Transactions on Learning Technologies, Vol. 16, Núm. 5, pp. 694-707
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HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets
Neurocomputing, Vol. 560
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Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections
Neurocomputing, Vol. 548
2022
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New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Parsimonious Modelling for Estimating Hospital Cooling Demand to Improve Energy Efficiency
Logic Journal of the IGPL, Vol. 30, Núm. 4, pp. 635-648
2021
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A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package
Neurocomputing, Vol. 452, pp. 317-332
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An advanced methodology to enhance energy efficiency in a hospital cooling-water system
Journal of Building Engineering, Vol. 43
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Modelos de inteligencia artificial para asesorar el proceso evaluador de trabajos informáticos complejos
Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 43-50
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PSO-PARSIMONY: a New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
2019
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Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection
Neurocomputing, Vol. 354, pp. 20-26
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Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
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Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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GAparsimony: An R package for searching parsimonious models by combining hyperparameter optimization and feature selection
Lecture Notes in Computer Science, Vol. 10870 LNAI, pp. 62-73
2017
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Hybrid methodology based on bayesian optimization and ga-parsimony for searching parsimony models by combining hyperparameter optimization and feature selection
Lecture Notes in Computer Science, Vol. 10334 LNCS, pp. 52-62
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Searching parsimonious solutions with GA-PARSIMONY and XGboost in high-dimensional databases
Advances in Intelligent Systems and Computing, pp. 201-210
2015
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Current Status and FutureTrends of the Evaluation ofSolar Global Irradiation usingSoft-Computing-Based Models
Soft Computing Applications for Renewable Energy and Energy Efficiency (IGI Global), pp. 1-22
2014
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Current status and future trends of the evaluation of solar global irradiation using soft-computing-based models
Soft Computing Applications for Renewable Energy and Energy Efficiency, pp. 1-22